Google Workspace MCP VE

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses the batch size limit ('up to 25 threads per batch') and the reason ('to prevent SSL connection exhaustion'), which adds useful behavioral context. However, it does not mention authentication requirements, rate limits, error handling, or what the output contains, leaving gaps for a mutation-free read operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with zero waste: the first states the purpose and method, and the second adds a critical constraint. It is front-loaded with the core functionality and appropriately sized for the tool's complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that there is an output schema (not shown but indicated as true), the description does not need to explain return values. It covers the batch operation and size limit well, but for a tool with no annotations and three parameters, it could benefit from more behavioral context like authentication or error details. However, the presence of an output schema and high schema coverage mitigates some gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all three parameters thoroughly. The description does not add any parameter-specific details beyond what the schema provides, such as explaining 'thread_ids' further or clarifying 'user_google_email' usage. Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Retrieves the content'), target resource ('multiple Gmail threads'), and method ('in a single batch request'). It distinguishes from sibling tools like 'get_gmail_thread_content' (singular) and 'get_gmail_messages_content_batch' (messages vs threads).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context about when to use this tool ('in a single batch request') and includes an explicit constraint ('Supports up to 25 threads per batch'). However, it does not mention when NOT to use it or name specific alternatives among the siblings, such as 'get_gmail_thread_content' for single threads.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.